ESE 517 Integrated Electronic Devices and Circuits II

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ESE 517
Integrated Electronic Devices and Circuits II
Spring 2013
Stony Brook University
Department of Electrical and Computer Engineering
Course Description
This is an advance, project oriented, integrated circuit design class. The various practical
aspects of analog and mixed-signal circuit design, like structured design, scalability,
parallelism, low-power consumption, and robustness to process variations, will be
covered. Topics considered will include design of digital-to-analog and analog-to-digital
data converters, delta-sigma modulation, filters, imagers, bioinstrumentation and adaptive
neural computation.
Classes : Th 11:30am-2:30pm, TBA
Office hours : Tu 11:00am-1:00pm, Th 4pm-6pm or by appointment
Instructor : Milutin Stanacevic
Office : 263 Light Engineering
Email : milutin@ece.sunysb.edu
Text Book:
Class Handouts and Technical Papers.
References :
D.A. Johns and K. Martin, “Analog Integrated Circuit Design”, 1st edition, Wiley 1996.
B. Razavi, “Design of Analog CMOS Integrated Circuits”
P.R. Gray, P.J. Hurst, S.H. Lewis, and R.G. Meyer , “Analysis and Design of Analog
Integrated Circuits”
J.E. Franca and Y. Tsividis, Eds. “Design of Analog-Digital VLSI Circuits for
Telecommunications and Signal Processing”
Suggested Reading: (or browsing, for project ideas)
1. IEEE Journal of Solid-State Circuits
2. IEEE Transactions on Circuits and Systems I
3. IEEE Transactions on Neural Networks: special issues on neural hardware
Grading
A. Research Paper Presentation
Each student will make a presentation based on an assigned research paper. These
presentations will be scheduled during the lectures, in the second part of the semester, and
they will be 30 minute long each. The presentation will count with 20% in the final grade.
B. Class Project
The students would organize themselves into groups, each comprising of 2 or 3 members.
The group will schedule meeting hour (1 hour per week) with the instructor to discuss
project issues. The topics for the project would be from the following areas: biomedical
signal processing and acquisition, smart imagers, speech processors and sensory systems.
 Group formation and definition due Week 3
 Project proposal due Week 5
 Project presentation I due Week 10
 Final presentation due Week 13
Course Schedule
Week 1,2
Week 3,4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
Week 12
Week 13
Switched capacitor and current circuits.
Analog-to-digital Nyquist-rate converters.
Digital-to-analog Nyquist-rate converters.
Delta-sigma modulation.
Power estimation and optimization. Biasing and voltage references.
Low-voltage and low-current analog design.
Technical paper study.
Analog computation blocks.
Biomedical instrumentation.
Learning on silicon.
Project presentations.
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